\[ f1 = 2 \times \frac{ precision \times recall}{precision + recall}\]
class weight="balanced" (preferred method for this course)alpha hyperparameter controls model complexity.alpha.alpha hyperparameteralpha:
alpha: Simpler model, smaller coefficients.alpha: Complex model, larger coefficients.TransformedTargetRegressor
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X.alpha hyperparameter of Ridge has similar interpretation of C hyperparameter of LogisticRegression; higher alpha means more complex model.Ridge, smaller alpha means bigger coefficients whereas bigger alpha means smaller coefficients.iClicker cloud join link: https://join.iclicker.com/VYFJ
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sklearn for regression problems, using r2_score() and .score() (with default values) will produce the same results.GridSearchCV or RandomizedSearchCV for regression as well as classification problems.